Optimasi Kendali Ketinggian Air dengan Kontroler Fuzzy PID dalam Menghadapi Variabel Gangguan

Jurnal Elkomika Pub Date : 2023-10-24 DOI:10.26760/elkomika.v11i4.998

FITRIA SURYATINI, HADI SUPRIYANTO, ISMAIL ROKHIM, ABDUR ROHMAN HARITS MARTAWIREJA, AHMAD HUSEN

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Abstract

ABSTRAKKendali ketinggian air merupakan suatu sistem yang sering ditemukan di sebagian besar fasilitas industri. Kendali ketinggian air seringkali dihadapkan pada gangguan yang disebabkan perubahan aliran masuk serta perubahan laju pengeluaran air. Penelitian ini bertujuan untuk meningkatkan kendali ketinggian air dalam sistem dengan kendali Fuzzy PID dalam menghadapi variasi gangguan berupa perubahan laju pengeluaran air, serta mengimplementasikan pada kontroler PLC. Penelitian ini melibatkan pengujian kendali Fuzzy PID dan kendali PID dengan metode tuning Ziegler-Nichols 1. Variasi gangguan berupa keluaran pompa DC yang bisa diatur kecepatannya dari Output DA PLC resolusi 0-6000 yang dikonversi menjadi 0-100%. Hasil penelitian menunjukkan Fuzzy PID dapat diimplementasikan pada PLC dengan hasil yang minim overshoot, settling time yang lebih pendek rata-rata 17.23 detik sedangkan PID rata-rata 78,4 detik dan terdapat overshoot. Namun, Fuzzy PID cenderung memiliki rise time lebih lambat 1-2 detik daripada kendali PID.Kata kunci: PLC, Fuzzy PID, PID, Water Level, Ziegler-Nichols ABSTRACTWater level control is a system that is often found in most industrial facilities. Water level control is often faced with disturbances caused by changes in the inflow and changes in the rate of discharge of water. This study aims to improve the control of the water level in a system with Fuzzy PID control in dealing with variations in disturbances in the form of changes in the rate of water discharge, and to implement it on the PLC controller. This study involves testing Fuzzy PID control and PID control using the Ziegler-Nichols 1 tuning method. The disturbance variation is in the form of a speed-adjustable DC pump output from the PLC DA Output with a resolution of 0-6000 which is converted to 0-100%. The results showed that Fuzzy PID can be implemented on PLCs with minimal overshoot results, shorter settling time with an average of 17.23 seconds while the average PID is 78.4 seconds and there is overshoot. However, Fuzzy PID tends to have a slower rise time of 1-2 seconds than PID control.Keywords: PLC, Fuzzy PID, PID, Water Level, Ziegler-Nichols

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水高度控制优化与模糊PID控制器处理变量

水位控制是一个经常在大多数工业设施中发现的系统。对水位的控制经常受到入口变化和水流动流动变化的影响。本研究旨在通过模糊的PID控制提高系统中的水高度控制，处理水排放速度变化中断，并在PLC控制器上实施。该研究包括测试模糊的PID控制和通过Ziegler-Nichols 1调谐方法的PID控制。直流泵输出可调速度从出口DA PLC 0-6000分辨率转换为0-100%。研究表明，模糊的PID可以在PLC上执行，平均时间为17.23秒短，PID平均为78.4秒，有超导。然而，模糊的PID往往比PID的控制慢1-2秒。关键词:PLC，模糊的PID, PID, Water levels, Ziegler-Nichols ABSTRACTWater control是一个系统，它发现在最工业化的问题上。水的控制是十张脸，混乱是由水的变化和水的释放速率的变化引起的。这些研究包括在系统中植入模糊的PID控制，处理水中变化的变化，并在PLC控制器上实现。这种研究用Ziegler-Nichols 1调谐方法进行测试。混乱是在一种速度可调的直流泵输出的形式，其结果是0-6000的决心，其结果是0-100%。结果表明，这种模糊的PID可以在PLCs上执行，平均时间为17.23秒，而一般时间为78.4秒，无枪击。However，模糊的PID需要时间比PID时间长1-2秒。PLC，模糊的PID, PID, Water levels, Ziegler-Nichols

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来源期刊

Jurnal Elkomika

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审稿时长

12 weeks